Principal Software Architect

ABB; Bengaluru; Hybrid; INR 6,000,000 - 9,000,000; Full time

Job summary

ABB is seeking a Principal Architect – Enterprise AI Platforms to lead the architecture, governance, and delivery of ABB's next-generation AI platforms in a hybrid Bengaluru setting. The role collaborates with Product Management, AI/ML, Platform Engineering, DevOps, Security, and Cloud teams to ensure scalable, secure, and resilient AI solutions using Azure and modern cloud-native technologies.

The position is part of ABB's Process Automation Digital Industry Analytics / Research & Development

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or related technical field.
• 10+ years of enterprise software engineering, solution architecture, and technical leadership experience with cloud-native platforms.
• Strong expertise in Generative AI, LLMs, LLMOps, Agentic AI, MCP, RAG, AI governance, and enterprise AI platform architecture.
• Experience with Microsoft Azure stack including AKS, Azure OpenAI Service, Azure App Services, Azure SQL and Cosmos DB; security, Kubernetes, Docker, IaC, and DevSecOps.

Responsibilities

• Define architecture, engineering standards, and roadmaps for ABB's AI platforms and Copilot ecosystems.
• Provide technical leadership, mentor architects and engineers, and collaborate with product management, AI/ML, DevOps, Cloud, Security, and customer success teams.
• Drive governance, LLMOps, MCP, RAG, observability, and cybersecurity strategies for scalable, secure AI platform delivery.
• Lead design reviews, CI/CD, DevSecOps adoption, and continuous improvement across the software lifecycle.

Skills

Generative AI

LLMs

LLMOps

Agentic AI

Model Context Protocol (MCP)

RAG

AI governance

vector databases

enterprise AI platform architecture

Azure cloud

Education

Bachelor's or Master's in Computer Science / Software Engineering / AI / Data Science

Tools

Azure OpenAI Service

Azure Kubernetes Service (AKS)

Azure App Services

Azure SQL

Cosmos DB

Kubernetes

Docker

IaC (Infrastructure as Code)

DevSecOps practices

Job description

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to: Digital Solution Engineering Manager.

What We Believe In

ABB's Process Automation business area enables customers to operate some of the world's largest and most complex industrial infrastructures, helping them outrun - leaner and cleaner.

We deliver automation, electrification, and digital solutions across process, hybrid, and maritime industries through advanced industrial software, AI-enabled platforms, cloud-native technologies, and analytics solutions that accelerate digital transformation and operational excellence.

Your Role And Responsibilities

In this role, we are looking for a Principal Architect – Enterprise AI Platforms to join our Industrial Automation Digital Organization. You will provide strategic technical leadership in defining the architecture, engineering standards, and technology roadmap for ABB's next-generation Enterprise AI Platforms, including Copilot ecosystems, Agentic AI frameworks, LLMOps capabilities, and intelligent automation solutions.

Working closely with Product Management, Engineering Leadership, AI/ML Engineers, Platform Engineering, DevOps, Security, and Cloud teams, you will drive architecture governance, mentor engineering organizations, and ensure scalable, secure, and resilient AI platform delivery using Python, .NET, Angular, Microsoft Azure, and modern cloud-native technologies.

This role is contributing to the Process Automation - Digital Industry Analytics / Research & Development organization in Bangalore, India.

The work model for the role is: Hybrid.

You will be mainly accountable for

• Define and govern enterprise architecture standards, technical roadmaps, and engineering best practices for AI platforms, ensuring scalable, secure, resilient, and cloud-native solutions that support Copilot, Agentic AI, and intelligent automation capabilities.
• Lead the architecture and design of enterprise AI platforms by driving High-Level and Low-Level Design (HLD/LLD), AI governance, LLMOps, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), platform integrations, observability, and cybersecurity strategies.
• Provide technical leadership and mentorship to Architects, Technical Leads, and engineering teams while collaborating with Product Management, AI/ML, DevOps, Cloud, Security, and Customer Success organizations to deliver strategic platform initiatives.
• Drive engineering excellence through architecture governance, design reviews, CI/CD and DevSecOps adoption, performance optimization, documentation standards, Agile delivery practices, and continuous improvement across the software development lifecycle.

Qualifications For The Role

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• 10+ years of experience in enterprise software engineering, solution architecture, and technical leadership with expertise in designing large-scale cloud-native platforms and distributed systems.
• Strong expertise in Generative AI, Large Language Models (LLMs), LLMOps, Agentic AI, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), AI governance, vector databases, and enterprise AI platform architecture.
• Hands-on experience with Microsoft Azure, including Azure OpenAI Service, Azure Kubernetes Service (AKS), Azure App Services, Azure SQL, Cosmos DB, cloud security, Kubernetes, Docker, Infrastructure as Code (IaC), and DevSecOps practices.
• Deep understanding of software architecture, microservices, asynchronous programming, distributed systems, scalability, resiliency, observability, performance optimization, and secure API design.
• Proven experience leading architecture reviews, mentoring engineering teams, establishing engineering governance, and collaborating with global cross-functional stakeholders in Agile environments.
• Excellent communication, stakeholder management, strategic thinking, and problem-solving skills, with exposure to Industrial IoT technologies such as MQTT and OPC UA considered an advantage.

More About Us

ABB is a leading global technology company driving the transformation of industries toward a more productive and sustainable future. The Process Automation business area automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures across energy, process, hybrid, and maritime industries.

Our Digital organization develops innovative industrial software, AI-powered platforms, cloud-native applications, and advanced analytics solutions that help customers improve operational efficiency, reliability, safety, and sustainability. By combining deep domain expertise with cutting-edge technologies, ABB empowers customers to accelerate their digital transformation journey.

At ABB, you'll collaborate with global engineering leaders to define the future of Enterprise AI, Industrial Copilots, and cloud-native platforms while influencing technology strategy across a global engineering organization. We foster a culture of innovation, continuous learning, diversity, and inclusion where every individual is empowered to make a meaningful impact.

ABB is committed to providing equal employment opportunities to all qualified applicants. Employment is subject to applicable background verification and pre-employment screening in accordance with ABB policies.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.